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FLUX vs Nano Banana: a product-image evaluation (2026)

Test FLUX and Nano Banana on one detailed product, one edit and one variant, and log the finishing work before you choose.

Kevin Dosanjh
Co-founder / CMO, AI Vidia · Updated
Overhead comparison spread of AI-generated product shots from two image models on a warm off-white Nordic studio surface
On this page4 sections
  1. 01Who makes the models
  2. 02Test editing and variants
  3. 03Judge the finished use
  4. 04Use editing as a separate evaluation step

Start with your own catalog when you compare FLUX and Nano Banana. Choose a product with visible details, request a relevant edit and repeat on a variant. These steps show whether the method is useful beyond one attractive image.

Who makes the models

Black Forest Labs makes FLUX, and Google makes Nano Banana, its name for the Gemini image models. Both exist in several versions, so the name alone does not say what you tested. The table repeats what each maker's own pages listed on 25 October 2026.

FLUX and Nano Banana: maker, status, access and licence on 25 October 2026
ModelMakerStatusAccess and licence
FLUX.2Black Forest LabsVariants [max], [pro], [flex], [dev] and [klein]; still supported for productionBFL API and Playground. Downloadable weights: [dev] under the FLUX Non-Commercial License (commercial licence sold separately), [klein] 4B under Apache 2.0
FLUX 3 ImageBlack Forest LabsPart of FLUX 3, the maker's latest model family; FLUX 3 Image Klein released 15 October 2026BFL API and Playground. Own servers: commercial weights licence. Klein weights: FLUX Kommunity License, free commercial use under USD 5 million annual revenue
Nano Banana 2Google (Gemini 3.1 Flash Image)gemini-3.1-flash-image: generally available since 28 May 2026, deprecated since 6 October 2026, no shutdown date announcedGemini API under Google's Gemini API terms. Weights: not published
Nano Banana 2.1Googlegemini-nano-banana-2.1: generally available since 6 October 2026, recommended by Google for new projectsGemini API under the same terms. Weights: not published

These are the makers' own statements, not an AI Vidia test result. Read the current terms for the exact access you use, and record the model ID with each test.

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Test editing and variants

Start with packaging that makes errors visible. Check text, shape and materials, then request a specific background or framing edit. Repeat with a relevant color or size variant. Keep rejected results and editing time, including compositing with real photography where needed.

Judge the finished use

Compare accepted files, total effort and current terms. Product-image quality does not establish improved ROAS. See AI product photography and the Midjourney comparison approach.

Use editing as a separate evaluation step

Start with a neutral product scene that makes the packaging readable. Check lettering, shape and materials at normal viewing size and more closely. Then ask for more room for copy, a changed background or a different shadow. Observe whether the accepted product survives that edit.

Repeat with another relevant size or color, and inspect the pair as customers would see it in a catalog. Retain failures with specific reasons instead of selecting only the best result. If one workflow uses a real cutout product and another regenerates it, that distinction belongs in both the quality assessment and labor record. The finished application should decide whether either approach is usable.

Frequently asked questions

01What should a FLUX vs Nano Banana product test include?
Start with your own catalog. Choose a product with visible details, request a relevant edit and repeat on a variant. These steps show whether the method is useful beyond one attractive image.
02How do we judge FLUX and Nano Banana results across product variants?
Inspect both variants side by side at catalog size, keep failed results with a reason for each, and record whether each product was a real cutout or regenerated.
03Who makes FLUX and Nano Banana?
Black Forest Labs makes FLUX, and Nano Banana is the name of Google's Gemini image models. On 25 October 2026 Black Forest Labs offered both FLUX.2 and the newer FLUX 3 Image, while Google recommended Nano Banana 2.1 (gemini-nano-banana-2.1) for new projects and had deprecated Nano Banana 2. Record the exact model you test.

Sources

  1. 01Black Forest Labs: FLUX.2 model page (variants, API and Playground access), read 25 October 2026
  2. 02Black Forest Labs documentation: FLUX 3 latest model family, FLUX.2 still supported for production, read 25 October 2026
  3. 03Black Forest Labs: FLUX 3 Image model page (API, Playground, commercial weights licence), read 25 October 2026
  4. 04Black Forest Labs blog: FLUX 3 Image Klein (15 October 2026, FLUX Kommunity License), read 25 October 2026
  5. 05Black Forest Labs: Licensing (commercial weights licences for FLUX.2 [dev] and [klein]), read 25 October 2026
  6. 06Black Forest Labs on Hugging Face: FLUX.2 [dev] model card (FLUX Non-Commercial License), read 25 October 2026
  7. 07Black Forest Labs on Hugging Face: FLUX.2 [klein] 4B model card (Apache 2.0), read 25 October 2026
  8. 08Google AI for Developers: Gemini API models (Nano Banana model IDs and status), read 25 October 2026
  9. 09Google AI for Developers: Gemini API release notes (Nano Banana 2 GA 28 May 2026, Nano Banana 2.1 GA and Nano Banana 2 deprecation 6 October 2026), read 25 October 2026
  10. 10Google AI for Developers: Image generation with Gemini (Nano Banana model IDs, Nano Banana 2.1 recommended for new projects), read 25 October 2026
  11. 11Google DeepMind: Gemini Image (Nano Banana 2 is Gemini 3.1 Flash Image), read 25 October 2026
  12. 12Google AI for Developers: Gemini API Additional Terms of Service, read 25 October 2026

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